icmm (version 1.2)

simBinomial: Simulated data from the binary logistic regression model

Description

Simulated data from the binary logistic regression model. A data frame with 100 observations and 401 variables. The included variables are V1 A numeric vector of binary responses where each entry is either 0 or 1. V2-V401 400 vectors of covariates.

Usage

data(simBinomial)

Format

A data frame of simulated data from the binary logistic regression with 100 observations and 401 variables.

Examples

# NOT RUN {
  data(simBinomial)
  Y<-as.matrix(simBinomial[,1])
  X<-as.matrix(simBinomial[,-1])
# }